Evidence map›Paper›PMID 40259058›Full record

ArticleScientific reports2025

Healthcare utilization among Japanese older adults during later stage of prolonged pandemic.

Rong Fu, Sizhe Liu, Masato Oikawa, Haruko Noguchi, Akira Kawamura

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rong FuFaculty of Commerce, Waseda University, Shinjuku, Japan. nataliefu@waseda.jp.
Sizhe LiuGraduate School of Commerce, Waseda University, Shinjuku, Japan.
Masato OikawaFaculty of Education and Integrated Arts and Sciences, Waseda University, Shinjuku, Japan.
Haruko NoguchiFaculty of Political Science and Economics, Waseda University, Shinjuku, Japan.
Akira KawamuraFaculty of Human Sciences, Waseda University, Tokorozawa, Japan.

Funding

Ministry of Health, Labour and Welfare 22AA1002
6 · The paper itself

Abstract

This study examines healthcare utilization patterns among Japan's older population (aged 75 and above) during a prolonged public health emergency, focusing on the later phase of the COVID-19 pandemic (November 2021-September 2022). This period was characterized by the Omicron variant, widespread vaccination coverage, and adapted public health measures. Using a comprehensive dataset of 189,841,257 medical claims linked with income tax records, we analyze how healthcare utilization correlates with public health measures, pandemic severity, and income levels. Our findings reveal distinct utilization patterns: moderate decreases in healthcare visits during periods of public health measures, with the association between pandemic severity and healthcare use varying based on whether these measures are in place. Despite fluctuations in visit frequency, healthcare costs remain stable, indicating consistent service intensity. While income-related differences in general healthcare access are modest, dental care shows more pronounced socioeconomic variations. These patterns suggest a transition from initial widespread healthcare avoidance to more stable healthcare engagement, indicating adaptation to prolonged crisis conditions. Our findings provide insights for maintaining healthcare access during extended public health emergencies, particularly in aging societies where balancing healthcare needs with public health measures is crucial.

Indexed as

COVID-19Patient Acceptance of Health CareAgedAged, 80 and overEast Asian PeopleFemaleHealth Services AccessibilityHumansJapanMalePandemicsPublic HealthSARS-CoV-2

Identifiers

PMID40259058
PMCPMC12012046

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.